Skip to content
/ dvc-3-automate-experiments Public

Tutorial: Automate DVC experiments helps to automate your Machine Learning experiments, manage metrics, reports and models versions

License

MIT license
8 stars 34 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

mlrepa/dvc-3-automate-experiments

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

12 Commits
src
src
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
dvc-3-automate-experiments.ipynb
dvc-3-automate-experiments.ipynb
 
 
params.yaml
params.yaml
 
 
requirements.txt
requirements.txt
 
 

Repository files navigation

Tutorial: dvc-3-automate-experiments

1. clone this repository

git clone https://gitlab.com/7labs.ru/tutorials-dvc/dvc-3-automate-experiments.git cd dvc-3-automate-experiments

2. Create and activate virtual environment

Install virtualenv in advance:

pip install virtualenv

Create virtual environment

virtualenv venv-dvc-3-automate-experiments source venv-dvc-3-automate-experiments/bin/activate

3. Install python libraries (including dvc)

pip install -r requirements.txt

4. Add Virtual Environment to Jupyter Notebook

python -m ipykernel install --user --name=venv-dvc-3-automate-experiments

5. Run and follow Jupyter Notebook dvc-3-automate-experiments.ipynb for instructions:

jupyter notebook

About

Tutorial: Automate DVC experiments helps to automate your Machine Learning experiments, manage metrics, reports and models versions

Topics

data-science machine-learning automate experiments reproducibility data-science-learning automated-machine-learning machine-learning-tutorials dvc mlrepa mlrepa-school

Resources

Readme

License

MIT license
Activity
Custom properties

Stars

8 stars

Watchers

1 watching

Forks

34 forks
Report repository

Releases 1

Tutorial on Automate DVC experiments Latest
Oct 23, 2020

Packages

No packages published

Languages